Phenome-Wide Analysis to Establish Causal Evidence for an Association Between Body Mass Index and Multiple Disease Outcomes in the UK Biobank

2019 ◽  
Author(s):  
Elina Hypponen ◽  
Anwar Mulugeta Gebremichael ◽  
Ang Zhou ◽  
Vimaleswaran Karani Santhanakrishnan
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Uk Biobank ◽  
Disease Outcomes ◽  
Multiple Disease Outcomes ◽  
The Uk

scholarly journals Association of Body Mass Index With Cardiometabolic Disease in the UK Biobank

2017 ◽  
Vol 2 (8) ◽  
pp. 882 ◽  
Author(s):  
Donald M. Lyall ◽  
Carlos Celis-Morales ◽  
Joey Ward ◽  
Stamatina Iliodromiti ◽  
Jana J. Anderson ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Cardiometabolic Disease ◽  
Uk Biobank ◽  
The Uk

scholarly journals Homogeneity in the association of body mass index with type 2 diabetes across the UK Biobank: A Mendelian randomization study

PLoS Medicine ◽  
2019 ◽  
Vol 16 (12) ◽  
pp. e1002982 ◽  
Author(s):  
Michael Wainberg ◽  
Anubha Mahajan ◽  
Anshul Kundaje ◽  
Mark I. McCarthy ◽  
Erik Ingelsson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
Mendelian Randomization ◽  
Uk Biobank ◽  
The Uk

Do Serum Urate–Associated Genetic Variants Differentially Contribute to Gout Risk According to Body Mass Index? Analysis of the UK Biobank

2020 ◽  
Vol 72 (7) ◽  
pp. 1184-1191 ◽  
Author(s):  
Vicky Tai ◽  
Ravi K. Narang ◽  
Greg Gamble ◽  
Murray Cadzow ◽  
Lisa K. Stamp ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Genetic Variants ◽  
Serum Urate ◽  
Uk Biobank ◽  
Index Analysis ◽  
The Uk

Increased brain volume from cereal, decreased brain volume from coffee -- shared genetic determinants and impacts on cognitive function, body mass index (BMI) and other metabolic measures: cohort study of UK Biobank participants

2020 ◽  
Author(s):  
Jujiao Kang ◽  
Tianye Jia ◽  
Zeyu Jiao ◽  
Chun Shen ◽  
Chao Xie ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cohort Study ◽  
Body Mass ◽  
Grey Matter ◽  
Brain Volume ◽  
Grey Matter Volume ◽  
Uk Biobank ◽  
Matter Volume ◽  
The Uk ◽  
Genetic Constructs

AbstractObjectiveTo explore how different diets may affect human brain development and if genetic and environmental factors play a part.DesignCohort study.SettingUK Biobank data were collected from 22 centres across the UK.ParticipantsOnly white British individuals free of Alzheimer’s or dementia diseases were included in the study, where 336517 participants had quality-controlled genetic data, and 18879 participants had qualified brain MRI data.Main outcome measuresGrey matter volume, intake of cereal and coffee, body mass index and blood cholesterol level.ResultsWe investigated diet effects in the UK Biobank data and discovered anti-correlated brain-wide grey matter volume (GMV)-association patterns between coffee and cereal intake, coincidence with their anti-correlated genetic constructs. These genetic factors may further affect people’s lifestyle habits and body/blood fat levels through the mediation of cereal/coffee intake, and the brain-wide expression pattern of gene CPLX3, a dedicated marker of subplate neurons that regulate cortical development and plasticity, may underlie the shared GMV-association patterns among the coffee/cereal intake and cognitive functions.ConclusionsOur findings revealed that high-cereal and low-coffee diets shared similar brain and genetic constructs, leading to long-term beneficial associations regarding cognitive, BMI and other metabolic measures. This study has important implications for public health, especially during the pandemic, given the poorer outcomes of COVID-19 patients with greater BMIs.

Deep transfer learning of brain shape morphometry predicts Body Mass Index (BMI) in the UK Biobank

2020 ◽  
Author(s):  
Ling-Li Zeng ◽  
Christopher R. K. Ching ◽  
Zvart Abaryan ◽  
Sophia I. Thomopoulos ◽  
Kai Gao ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Transfer Learning ◽  
Body Mass ◽  
Uk Biobank ◽  
The Uk ◽  
Brain Shape
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